skill-creator

Automate the end-to-end lifecycle of Claude Code skill creation and optimization.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/alexaundre/mycc --skill skill-creator-alexaundre
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/alexaundre/mycc/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/alexaundre/mycc --skill skill-creator-alexaundre

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a structured workflow to create, refine, evaluate, and optimize Claude Skills. It helps users design new skills from scratch, iterate on existing skills, run evals, benchmark performance, and tune triggering descriptions for better discoverability.

Core Features & Use Cases

  • End-to-end skill lifecycle: creation, modification, evaluation, benchmarking, and description optimization.
  • Evaluation orchestration: run trigger evaluations across train/test sets, track results, and generate actionable feedback.
  • Iterative improvement: propose description improvements based on results and history, with run-loop guidance.
  • Artifacts & governance: maintain evals.json, history, and benchmark outputs to ensure reproducibility.
  • Skill packaging and validation helpers: includes tooling to validate, package, and deploy skills.

Quick Start

Draft a new skill, write test prompts, run the evaluation loop, and iterate until you are satisfied, then optionally optimize the triggering description.

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Claude skill creation and evaluation?

Automate Claude skill creation and evaluation by using a structured workflow to draft skills, write test prompts, run trigger evaluations, and iterate on results. This handles the end-to-end skill lifecycle from initial creation to optimization.

What is the best way to optimize trigger descriptions for better skill discoverability?

Optimize trigger descriptions for better skill discoverability by running trigger evaluations across train and test sets, tracking results, and proposing description improvements based on historical benchmark data and actionable feedback.

How do I benchmark skill performance across different configurations?

Benchmark skill performance across different configurations by running evaluative tests, organizing results into structured artifacts, and maintaining history with front matter to ensure reproducible benchmarking pipelines.

Can I use this skill workflow tool to validate and package existing skills?

Yes, you can use this skill workflow tool to validate and package existing skills. It includes built-in tooling helpers to validate, package, and deploy skills alongside its core evaluation and optimization features.

Do I need YAML dependencies to run skill evaluation pipelines?

Yes, YAML is required as a dependency to run skill evaluation pipelines. The system relies on YAML to organize evaluation sets, structured artifacts, and front matter for reproducible skill modification and benchmarking workflows.